The app reads your email inbox and your meeting calendar, then gives you a short audio summary. It can help you spend less time scrolling, but of course, there are privacy drawbacks to consider.

Baffled Florida parents sue fertilization clinic after delivering someone else's baby Huge pancreatic cancer breakthrough as scientists achieve'permanent disappearance' of disease with new triple-threat approach tested in lab Bombshell new leaked audio that could sink Blake Lively: Listen to actress' four-minute voice note to Justin Baldoni The truth about the Sussexes at that Kardashian party is out - and it's a big, hot jelly of a mess: JAN MOIR Trump chooses'central casting' Kevin Warsh for Fed Chair Real estate tycoon accused of indecent proposal to realtor mom while enjoying an affair. Ryan Seacrest's gaunt face concerns fans as he congratulates Wheel Of Fortune co-host Vanna White on wedding Margot Robbie fans go wild over red carpet'slip-up' about her husband and joke she'must be in an open relationship' following red carpet moment Trump says'agitator Alex Pretti's stock has gone way down' after video of him spitting on and kicking an ICE vehicle emerged, saying he was'crazed and out of control' Boy, 5, in ICE custody after being detained in Minneapolis is'depressed, sad, and not doing great' Brooklyn Beckham is mocked by fans for showing off his'special' spaghetti bolognese recipe - but reveals he's run out of spaghetti - despite wife Nicola Peltz's $1m a month allowance from billionaire father Nelson Woke Democrats on verge of driving party's popularity off cliff again with this new slogan, former Obama advisor warns Nurse banned from working in his home state of Florida after saying he wouldn't anesthetize MAGA supporters Inside Kris Jenner's extremely risky surgery to transform the only remaining part of her body that betrays her true age Melania invited me to watch her new documentary inside the White House. Now I know why you wouldn't want to cross her: LINK LAUREN's movie review Full known list of Alex Pretti's battles with cops revealed before Minneapolis nurse was shot dead by DHS Lauren Sanchez has hit a despicable new low. I can't defend her any longer. Revealed: The classic office words and phrases that Gen Z no longer understand - so, do you know your'synergy' from your'paradigm'?

The recently introduced continuous Skip-gram model is an efficient method for learning high-quality distributed vector representations that capture a large number of precise syntactic and semantic word relationships. In this paper we present several improvements that make the Skip-gram model more expressive and enable it to learn higher quality vectors more rapidly. We show that by subsampling frequent words we obtain significant speedup, and also learn higher quality representations as measured by our tasks. We also introduce Negative Sampling, a simplified variant of Noise Contrastive Estimation (NCE) that learns more accurate vectors for frequent words compared to the hierarchical softmax. An inherent limitation of word representations is their indifference to word order and their inability to represent idiomatic phrases.

Wikipedia, a vast and continuously consulted knowledge base, faces significant challenges in maintaining up-to-date content due to its reliance on manual human editors. Inspired by the vision of continuous knowledge acquisition in NELL and fueled by advances in LLM-based agents, this paper introduces WiNELL, an agentic framework for continuously updating Wikipedia articles. Our approach employs a multi-agent framework to aggregate online information, select new and important knowledge for a target entity in Wikipedia, and then generate precise edit suggestions for human review. Our fine-grained editing models, trained on Wikipedia's extensive history of human edits, enable incorporating updates in a manner consistent with human editing behavior. Our editor models outperform both open-source instruction-following baselines and closed-source LLMs (e.g., GPT-4o) in key information coverage and editing efficiency. End-to-end evaluation on high-activity Wikipedia pages demonstrates WiNELL's ability to identify and suggest timely factual updates. This opens up a promising research direction in LLM agents for automatically updating knowledge bases in a never-ending fashion.

Variation in language use, shaped by speakers' sociocultural background and specific context of use, offers a rich lens into cultural perspectives, values, and opinions. However, the computational study of these Sociocultural Linguistic Phenomena (SLP) has often been limited to bespoke analyses of specific groups or topics, hindering the pace of scientific discovery. To address this, we introduce Splits!, a 9.7 million-post dataset from Reddit designed for systematic and flexible research. The dataset contains posts from over 53,000 users across 6 demographic groups, organized into 89 discussion topics to enable comparative analysis. We validate Splits! via self-identification and by successfully replicating several known SLPs from existing literature. We complement this dataset with a framework that leverages efficient retrieval methods to rapidly validate potential SLPs (PSLPs) by automatically evaluating whether a given hypothesis is supported by our data. Crucially, to distinguish between novel and obvious insights, the framework incorporates a human-validated measure of a hypothesis's ``unexpectedness.'' We demonstrate that the two-stage process reduces the number of statistically significant findings requiring manual inspection by a factor of 1.5-1.8x, streamlining the discovery of promising phenomena for further investigation.

This research presents a novel approach to computational framing analysis, called Semantic Relations-based Unsupervised Framing Analysis (SUFA). SUFA leverages semantic relations and dependency parsing algorithms to identify and assess entity-centric emphasis frames in news media reports. This innovative method is derived from two studies -- qualitative and computational -- using a dataset related to gun violence, demonstrating its potential for analyzing entity-centric emphasis frames. This article discusses SUFA's strengths, limitations, and application procedures. Overall, the SUFA approach offers a significant methodological advancement in computational framing analysis, with its broad applicability across both the social sciences and computational domains.

Traditional symbol-based AAC devices impose meta-linguistic and memory demands on individuals with complex communication needs and hinder conversation partners from stimulating symbolic language in meaningful moments. This work presents a prototype application that generates situation-specific communication boards formed by a combination of descriptive, narrative, and semantic related words and phrases inferred automatically from photographs. Through semi-structured interviews with AAC professionals, we investigate how this prototype was used to support communication and language learning in naturalistic school and therapy settings. We find that the immediacy of vocabulary reduces conversation partners' workload, opens up opportunities for AAC stimulation, and facilitates symbolic understanding and sentence construction. We contribute a nuanced understanding of how vocabularies generated automatically from photographs can support individuals with complex communication needs in using and learning symbolic AAC, offering insights into the design of automatic vocabulary generation methods and interfaces to better support various scenarios of use and goals.

Searching on Google might seem like one of the safest things to do online. But cybersecurity experts warn that there are some searches which could put you at serious risk of being hacked. Last week, it was revealed that cybercriminals had hijacked the Google results for'Are Bengal cats legal in Australia?' to infect cat-lovers' computers. Now, experts have revealed the seven other common words and phrases you should never Google. Using a technique called'SEO poisoning' criminals exploit Google's search results to lure unsuspecting victims into websites they control.

Although it has been argued that under-threes should not have any screen time at all, research has found that digital tech can offer "rich opportunities" for young children's development. A two-year study, Toddlers, Tech and Talk, funded by the Economic and Social Research Council and led by researchers from Manchester Metropolitan University (MMU), working with Lancaster, Queen's Belfast, Strathclyde and Swansea universities, looked at children's interactions with everything from Amazon Alexa to Ring doorbells, in diverse communities across the UK, to find out how tech was influencing 0- to three-year-olds' early talk and literacy. It examined how children use technology with parents or by themselves, whether taking photos and videos, using learning apps and playing games, listening and singing to songs, talking about favourite characters, or chatting on video calls. The researchers found that children were not only interacting with smart devices and appliances when very young, but also that digital tech could have benefits for language development and other skills. "The evidence generated through this study suggests that young children's digital activity often involves sensory exploration through touch, vision, hearing, movement and embodied cognition," the report said.

Have you noticed certain words and phrases popping up everywhere lately? Phrases such as "delve into" and "navigate the landscape" seem to feature in everything from social media posts to news articles and academic publications. They may sound fancy, but their overuse can make a text feel monotonous and repetitive. This trend may be linked to the increasing use of generative artificial intelligence (AI) tools such as ChatGPT and other large language models (LLMs). These tools are designed to make writing easier by offering suggestions based on patterns in the text they were trained on.